A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.

A train position detecting device includes: a GPS position guarantee range calculation part for calculating, based on a result of measurement of a position of a train by GPS signals; a tachogenerator-position guarantee range calculation part for calculating, based on a result of measurement of a position of the train by a tachometer generator that measures a relative distance from a measurement carried out previously; and a position determination part that determines, between an end part of the GPS position guarantee range in the first-direction and an end part of the tachogenerator-position guarantee range in the first-direction, a position of an end part on the positive side of the second direction to be a position of the end part of the train in the first-direction.

A method is provided for calculating the estimated navigation performance prediction for a trajectory associated with a list of segments of a flight plan. A method for displaying the navigation performance in a corridor trajectory so as to guarantee compliance with the navigation performance requirements while offering immediate viewing of the navigation latitude in a corridor is also provided.

The approach presented here relates to a method for detecting a group runtime variation for a navigation sensor for a navigation system for a vehicle. The method comprises a step of reading and a step of determining. In the reading step, at least one first GNSS simulator signal is read from a virtual satellite of a virtual global navigation satellite system at a first time and a second GNSS simulator signal is read from the virtual satellite or from at least one second virtual satellite of the virtual navigation satellite system at a second time different to the first time by means of a read device. The group runtime variation is determined using the first GNSS simulator signal and the second GNSS simulator signal in the determining step.

A first positioning portion, a calculator, and a second positioning portion are provided in an electronic device targeted for positioning. The first positioning portion obtains, by Doppler positioning, a candidate position which is a candidate for an initial position of the electronic device in code phase positioning from radio waves received from each of GPS satellites. The calculator calculates an index value indicating the magnitude of variation in code phase from a difference between a code phase obtained from the radio waves received from each of the GPS satellites and a code phase obtained based on a candidate position and a position of each GPS satellite. The second positioning portion performs the code phase positioning using ZCount or a candidate position according to the index value.

A monitoring system for a speed determination system in an aircraft is disclosed. A method, which may be implemented by a computer program, of monitoring a speed determination system for an aircraft is also disclosed. The speed determination system includes a first speed measurement system and a second speed measurement system and the second speed measurement system is associated with a predetermined behaviour characteristic. The monitoring system includes a processor arranged to receive speed data provided by the speed determination system and to perform a correspondence determination process comprising processing the received speed data to determine whether a correspondence condition is satisfied, the correspondence condition having a correspondence between the received speed data and the predetermined behaviour characteristic of the second speed measurement system. In response to determining that the correspondence condition is satisfied, determine that the first speed measurement system is in an error condition.

Manufacturing method of a body protection and resulting body protection, wherein the method comprises producing a structural shell (10) with a maximum thickness of 5 mm, made of thermoplastic material, and defining a concave interior (11) and a convex exterior (12); over-moulding an expanded polystyrene layer (20) overlapping the concave interior (11) of the structural shell (10), producing its adhesion by close contact to the structural shell (10); and wherein the structural shell (10) is produced by means of the distributed placement, in a mould, of a mixture of thermoplastic material and of reinforcing fibres stable at temperatures equal to or lower than the melting temperature of the thermoplastic material, the closure and heating of the mould causing the melting of the thermoplastic material without damaging the reinforcing fibres, and the subsequent cooling of the mould, hardening the thermoplastic material with the reinforcing fibres embedded therein.

Provided are methods for semantic annotation of sensor data using unreliable map annotation inputs, which can include training a machine learning model to accept inputs including images representing sensor data for a geographic area and unreliable semantic annotations for the geographic area. The machine learning model can be trained against validated semantic annotations for the geographic area, such that subsequent to training, additional images representing sensor data and additional unreliable semantic annotations can be passed through the neural network to provide predicted semantic annotations for the additional images. Systems and computer program products are also provided.

An apparatus for surveying a position of a static point, consisting of a GNSS receiver and a mobile computing device, connected with GNSS receiver via communication interface. The mobile computing device accepts from GNSS receiver several estimations of position of a static point within a single session and computes combined result for the current session, which is the average of those estimations. After that, a reset command is send to a GNSS receiver, and another session is performed in order to get another combined result. The process continues until a required number of mutually consistent session results is collected, where ‘consistent’ means having the scatter of session results within a certain margin. Upon collecting the required number of consistent session results, they are combined to compute a single estimate of the position of a static point, which is considered as a result of survey.

A method for generating a feature-based localization map for a global navigation satellite system (GNSS) -based localization and/or a feature-based localization includes generating feature information for the feature-based localization map using at least one GNSS information, generating GNSS-related meta-information that allows inferences to be drawn about a GNSS situation on which the generation of the feature information was based, and assigning the generated GNSS-related meta-information to the generated feature information.